2 of the variables in my SEM are categorical observed, whereas the other 4 are latent (with indicators, of course). When specifying my SEM in M+, should I treat the observed variables (i.e., F5 & F6) in the same way as my latent (i.e., F1-F4):

Actually, I am just confused about using categorical/binary variables in my SEM. Basically, I have 2: sexual orientation and participation in sports. Both are yes/no variables. For example, either one participates in sports yes (1) or no (2). I am simply confused about how to represent these in the model in M+. If you could point me in a direction, I would appreciate it.